new-research
FeaturedStart a durable research / source note that captures what you read and found — fires on "start a research note", "capture these sources", "log my research". Part of the Agentsmith harness; scaffolds docs/research/<slug>.md so findings live in the repo, never in disposable memory (R9), and are never silently deleted.
Install
Quality Score: 87/100
Skill Content
Details
- Author
- PromptPartner
- Repository
- PromptPartner/agentsmith
- Created
- 1 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
research
Research a topic on the web and save a structured note to the resources folder. Use when the user wants to investigate a topic from scratch with no specific URL — 'research X for me', 'what do I need to know about Y'. Do NOT use for: processing a specific URL the user already has (use summarize), processing a book already read (use reading-notes), or quick note capture without web research (use capture or braindump).
research
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
research
Multi-agent web research with mandatory URL verification, confidence-tagged output, and four depth modes (quick to deep investigation). USE WHEN research, do research, quick research, extensive research, deep investigation, find information, investigate, extract alpha, analyze content, retrieve content, AI trends, enhance content, extract knowledge, web scraping, YouTube extraction, map landscape, competitive analysis, find it, find this, find this product, identify this, what is this, what's that thing, track down, locate, help me find, I can't find X online, can't find it online, source this — never substitute raw WebSearch/WebFetch for a multi-source find/identify/investigate request. NOT FOR people/company/entity deep background (use _OSINT), academic papers (use ArXiv), JSON entity extraction (use _PARSER), or content-adaptive wisdom extraction (use ExtractWisdom).